Version 1
: Received: 2 June 2023 / Approved: 14 June 2023 / Online: 14 June 2023 (12:27:15 CEST)
How to cite:
Xu, X.; Li, F.; Zhao, X.; Yang, F. Multiple Linear Regression Method to Constitute Permeability Model of Liquid Microcapsule Used for Electrolytic Co-deposition. Preprints2023, 2023061048. https://doi.org/10.20944/preprints202306.1048.v1
Xu, X.; Li, F.; Zhao, X.; Yang, F. Multiple Linear Regression Method to Constitute Permeability Model of Liquid Microcapsule Used for Electrolytic Co-deposition. Preprints 2023, 2023061048. https://doi.org/10.20944/preprints202306.1048.v1
Xu, X.; Li, F.; Zhao, X.; Yang, F. Multiple Linear Regression Method to Constitute Permeability Model of Liquid Microcapsule Used for Electrolytic Co-deposition. Preprints2023, 2023061048. https://doi.org/10.20944/preprints202306.1048.v1
APA Style
Xu, X., Li, F., Zhao, X., & Yang, F. (2023). Multiple Linear Regression Method to Constitute Permeability Model of Liquid Microcapsule Used for Electrolytic Co-deposition. Preprints. https://doi.org/10.20944/preprints202306.1048.v1
Chicago/Turabian Style
Xu, X., Xuehui Zhao and Fang Yang. 2023 "Multiple Linear Regression Method to Constitute Permeability Model of Liquid Microcapsule Used for Electrolytic Co-deposition" Preprints. https://doi.org/10.20944/preprints202306.1048.v1
Abstract
A self-protective metal/ liquid microcapsule composite plating coating has been prepared in our previous research. The release speed of liquid core material from microcapsules is crucial for the coating surface properties. The aim of this paper is to study the permeability rule of liquid microcapsules within composite coatings. According to permeability experimental data’s linear characteristics, multiple linear regression is firstly used to set up permeability model of liquid microcapsules. The results show that a reliable mathematical model about membrane porosity, viscosity of core material and membrane thickness is established under ambient temperature and moisture. Meanwhile, the predictive capacity and reliability of this model are analyzed carefully.
Chemistry and Materials Science, Materials Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
